Molecular Mapping of Grapevine Genes

Vezzulli, S.; Doligez, Agnès; Bellin, Diana

doi:10.1007/978-3-030-18601-2_7

Cited by 22 publications

(19 citation statements)

References 247 publications

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“…Collard et al [53] have suggested that the difference in chromosome recombination events occurred during sexual reproduction in each subpopulation can be the reason for the variation in map length. It also has been suggested that the very large map length may probably result from the low quality of markers or difficulty in ordering abundant markers in small populations with low recombination [54]. We were not sure about the reasons for the large length of the maps constructed in this work.…”

Section: Genetic Mapmentioning

confidence: 77%

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

Wang

Yan

Sun

et al. 2020

Preprint

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Backgroud: Aroma, berry firmness and berry shape are three main quality traits in table grape production, and also the important target traits in grapevine breeding. However, limited information about their genetic determinants leads to low accuracy and efficiency of quality breeding in grapevine. Mapping and isolation of quantitative trait locus (QTLs) based on the construction of genetic linkage map is a powerful approach to decipher the genetic determinants of complex quantitative traits in grape.Results: In the present work, a final integrated map consisted of 6,436 SLAF markers on 19 linkage groups (LGs) spanning 3,365.41 cM in genome size with an average distance of 0.52 cM between adjacent markers was generated using the specific length amplified fragment sequencing (SLAF-seq) technique. Total 16 significant QTLs were identified on six linkage groups based on phenotypic data of Muscat flavor, berry firmness and berry shape among the hybrids analyzed over three consecutive years from 2016 to 2018. Notably, new QTLs for berry firmness and berry shape were found on LG 8 respectively for the first time, which had the strongest and most stable effects over 2-3 years. Based on biological function and expression profiles of candidate genes in the major QTL regions, 3 genes (VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350) related to berry firmness and 3 genes (VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200) linked to berry shape were highlighted. Overexpression of VIT_08s0032g01110 in transgenic Arabidopsis plants caused the change of pod shape.Conclusions: A new high-density genetic map with total 6634 markers was constructed with SLAF-seq technique, and thus enabled the detection of narrow interval QTLs for relevant traits in grapevine. VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350 were found to be related to berry firmness, and VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200 were linked to berry shape.

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Section: Genetic Mapmentioning

confidence: 77%

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

Wang

Yan

Sun

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Collard et al [53] have suggested that the difference in chromosome recombination events occurred during sexual reproduction in each subpopulation can be the reason for the variation in map length. It has been also suggested that the very large map length may probably result from the low quality of markers or difficulty in ordering abundant markers in small populations with low recombination [54]. We were not sure about the reasons for the large length of the maps constructed in this work.…”

Section: Genetic Mapmentioning

confidence: 79%

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

et al. 2020

View full text Add to dashboard Cite

Background: Aroma, berry firmness and berry shape are three main quality traits in table grape production, and also the important target traits in grapevine breeding. However, the information about their genetic mechanisms is limited, which results in low accuracy and efficiency of quality breeding in grapevine. Mapping and isolation of quantitative trait locus (QTLs) based on the construction of genetic linkage map is a powerful approach to decipher the genetic determinants of complex quantitative traits. Results: In the present work, a final integrated map consisting of 3411 SLAF markers on 19 linkage groups (LGs) with an average distance of 0.98 cM between adjacent markers was generated using the specific length amplified fragment sequencing (SLAF-seq) technique. A total of 9 significant stable QTLs for Muscat flavor, berry firmness and berry shape were identified on two linkage groups among the hybrids analyzed over three consecutive years from 2016 to 2018. Notably, new stable QTLs for berry firmness and berry shape were found on LG 8 respectively for the first time. Based on biological function and expression profiles of candidate genes in the major QTL regions, 3 genes (VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350) related to berry firmness and 3 genes (VIT_ 08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200) linked to berry shape were highlighted. Overexpression of VIT_08s0032g01110 in transgenic Arabidopsis plants caused the change of pod shape. Conclusions: A new high-density genetic map with total 3411 markers was constructed with SLAF-seq technique, and thus enabled the detection of narrow interval QTLs for relevant traits in grapevine. VIT_08s0007g00440, VIT_ 08s0040g02740 and VIT_08s0040g02350 were found to be related to berry firmness, while VIT_08s0032g01110, VIT_ 08s0032g01150 and VIT_08s0105g00200 were linked to berry shape.

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“…Twenty LGs were found, because two sets of SSRs belonging to the same chromosome were kept separated, indicating low recombination information; from previous literature, we know that these SSRs map on LG7 (Doligez et al, 2006). The consensus map length was 1,028.95 cM, therefore within the "reference" range between 1,000 and 1,500 cM for Vitis map length (Vezzulli et al, 2019). SSR physical location was derived from Genoscope using the reference genome of PN40024 (Jaillon et al, 2007); for SSRs missing in Genoscope, BLAT alignment analyses were performed against the same reference genome.…”

Section: Traitmentioning

confidence: 86%

A Major QTL is associated with berry grape texture characteristics

Crespan¹,

Migliaro²,

Vezzulli

et al. 2021

OENO One

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Berry texture and berry skin mechanical properties are traits with high agronomic relevance because they are related to quality parameters and marketing requirements of wine, table, and raisin grapes. Searching for QTLs linked to berry texture, an F1 population of 152 individuals and their parents were used in this study. These F1 plants were obtained crossing Raboso Veronese, a seeded black wine grape cultivar, and Sultanina, a seedless white grape variety, especially used for raisins. Density flotation was applied for berry sorting improving the management of many and highly variable genotypes, irrespective of the quantification of specific molecule classes. Berries were evaluated for technological ripeness parameters and mechanical properties. Texture parameters were taken as raw data and as data normalised on berry dimensions, i.e., berry diameter or surface or volume. SSR molecular markers were used to produce a genetic map and a major QTL for berry texture was found on chromosome 18 with traits related to berry firmness showing a phenotypical explained variance higher than 60 %, and traits related to berry resilience, springiness and cohesiveness showing a variance higher than 50 %. Surprisingly, this QTL showed to be associated with SSR markers linked to VviAGL11, the main gene linked to seedlessness. VviAGL11 expression and co-expression profiling during grape ripening was evaluated using available information; this data suggested a role for this gene on the texture of a ripe berry.List of Abbreviations:ABW, average berry weightBR, berry resilienceBR_diam, berry resilience normalised on berry diameterBR_sur, berry resilience normalised on berry surfaceBR_vol, berry resilience normalised on berry volumeBS_ratio, berry springinessBS_ratio_diam, berry springiness normalised on berry diameterBS_ratio_sur, berry springiness normalised on berry surfaceBS_ratio_vol, berry springiness normalised on berry volumeBCo, berry cohesivenessBCo_diam, berry cohesiveness normalised on berry diameterBCo_sur, berry cohesiveness normalised on berry surfaceBCo_vol, berry cohesiveness normalised on berry volumeBH, berry hardnessBH_diam, berry hardness normalised on berry diameterBH_sur, berry hardness normalised on berry surfaceBH_vol, berry hardness normalised on berry volumeBG, berry gumminessBG_diam, berry gumminess normalised on berry diameterBG_sur, berry gumminess normalised on berry surfaceBG_vol, berry gumminess normalised on berry volumeBCh_ratio, berry chewinessBCh_ratio_diam, berry chewiness normalised on berry diameterBCh_ratio_sur, berry chewiness normalised on berry surfaceBCh_ratio_vol, berry chewiness normalised on berry volumeFsk, berry skin break forceWsk, berry skin break energyEsk, berry skin resistance to the axial deformationSpsk, berry skin thickness

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Molecular Mapping of Grapevine Genes

Cited by 22 publications

References 247 publications

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape

A Major QTL is associated with berry grape texture characteristics

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